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Bigdata Hadoop Administration
SPLUNK Administration
IBM-AIX 6.1/7.1v Administration
IBM VIO-LPAR Administration
IBM HACMP(Power HA) Admin
Linux Administration
Oracle DBA
Shell Scripting
Perl Scripting
Phython Scripting
 
 
 
 
 
Hadoop Administration

Course Duration: 24 hrs

I. Introduction
A. Hadoop history, concepts
B. Ecosystem
C. Distributions
D. High level architecture
E. Hadoop challenges (hardware / software)
Hands on session. Preparing to Install Hadoop
II. Planning and Installation
A. Selecting software, Hadoop distributions
B. Sizing the cluster, planning for growth
C. Rack topology
D. Installation of Core Hadoop and Ecosystem tools
E. Directory structure, logs
Hands on Session: Cluster installation
III. HDFS
A. Concepts (horizontal scaling, block replication, data locality, rack awareness)
B. Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, DataNode)
C. Health monitoring
D. Command-line and browser-based administration
E. Adding storage, replacing defective drives - Commissioning / De-Comissioning of Datanodes
Hands on Session: getting familiar with HDFS commands
IV. Mapreduce2
A. MapReduce1
B. Terminology and Data Flow - (Map – Shuffle – Reduce)
C. YARN Architecture
D. MapReduce Essential Configuration
Hands on Session : MapReduce UI walk through
V. Schedulers
A. Working with Jobs
B. Scheduling Concepts
C. FIFO Scheduler
D. Fair Scheduler
E. Capacity Scheduler - Configuration
Hands on Session: Working with Schedulers
VI. Data Ingestion & Security
A. Flume for logs and other data ingestion into HDFS
B. Sqoop for importing from SQL databases to HDFS, as well as exporting back to SQL
C. Overview of Hive
D. Copying data between clusters (distcp)
E. Ranger installation and configuration for HDFS, Hive, Hbase
Hands on session: setup and configure Flume, Sqoop, Range Installing Hadoop with Ambari Lab Tasks
 
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